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Remaining useful life prediction for turbofan engine data (C-MAPSS)
Code Repository for AI-PAAS
Accompanied python code the WCCI paper titled: Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines
Foreign language reading and translation assistant based on copy and translate.
Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
主要利用Numpy来写机器学习的程序
nasa_turbofan_failure_prediction
Predicting the remaining useful life of an aircraft engine approached using machine learning
https://industrial-big-data.io/phmc2019-datachallenge/
tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/
This is a Machine Learning Practice Case of Predictive Maintenance by Python with NASA's Turbofan Engine Degradation Simulation Data Set.
RUL Nasa Turbofan Dataset (paper)
Remainin useful life prediction using Python.
Estimate Remaining Useful Life of a Machine
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
各类GAN综合在一起,借鉴了hwalsuklee大神的
Aircraft engine failure prediction model
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